Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach
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- Seungwoo Chin & Matthew E. Kahn & Hyungsik Roger Moon, 2020. "Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 886-914, September.
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As found by EconAcademics.org, the blog aggregator for Economics research:- Will the Biden Administration's Trillion Dollar Investment in Infrastructure Unlock the Potential of Post-Industrial Cities?
by Matthew E. Kahn in Environmental and Urban Economics on 2021-11-09 21:31:00
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More about this item
JEL classification:
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
- R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-GEO-2017-05-07 (Economic Geography)
- NEP-PPM-2017-05-07 (Project, Program and Portfolio Management)
- NEP-TRE-2017-05-07 (Transport Economics)
- NEP-URE-2017-05-07 (Urban and Real Estate Economics)
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